Publications

Published Journal Papers

Note: The following papers are already published. Dr. Amsaad’s name is highlighted in bold. His graduate student mentees and visiting scholars who worked in his lab are highlighted in italic and underlined.

  1. Brian Hildebrand, Mohamed Baza, Tara Salman, Simra Tabassum, Bharath Konatham, Fathi Amsaad, Abdul Razaque, “A comprehensive review on blockchains for Internet of Vehicles: Challenges and directions,” in Computer Science Review (Elsevier), 2023. [Q1 Elsevier journal, IF = 12.9].

(Link:) https://www.sciencedirect.com/science/article/abs/pii/S157401372300014X

  1. Al-Eidi, Fathi Amsaad, O. Darwish, Y. Tashtoush, A. Alqahtani and Niveshitha Niveshitha, “Comparative AnalysisStudy for Air Quality Prediction in Smart Cities Using Regression Techniques,” in IEEE Access, vol. 11, pp. 115140-115149, 2023. [Q1 IEEE Journal, IF = 3.9].

(Link:) https://ieeexplore.ieee.org/document/10274948

  1. Abdul Razaque, Mohamed Ben Haj Frej, Gulnara Bektemyssova, Fathi Amsaad, Muder Almiani, Aziz Alotaibi, NZ Jhanjhi, Saule Amanzholova, Majid Alshammari, “Credit Card-Not-Present Fraud Detection and Prevention Using BigData Analytics Algorithms,” Applied Sciences, [Q2 Journal, IF = 2.9]. (Link:) https://www.mdpi.com/2076-3417/13/1/57
  2. Abdul Razaque, Fathi Amsaad, Musbah Abdulgader, Bandar Alotaibi, Fawaz Alsolami, Duisen Gulsezim, andSaraju Mohanty, “A Mobility-Aware Human-Centric Cyber-Physical System for Efficient and Secure Smart Healthcare,” in IEEE Internet of Things Journal, vol. 9, no. 22, pp. 22434-22452, Nov. 15, 2022. [Q1 IEEE Journal, five years IF = 11.043]. https://ieeexplore.ieee.org/document/9669196
  3. Abdul Razaque, Yaser Jararweh, Aziz Alotaibi, Fathi Amsaad, Bandar Alotaibi, Munif Alotaibi, “A blockchain-enabled framework for securing connected consumer electronics against wireless attacks,” Journal of Simulation ModellingPractice and Theory (Elsevier), [Q1 Elsevier Journal, IF = 4.199]. (Link:) https://www.sciencedirect.com/science/article/abs/pii/S1569190X22001228
  4. Abdul Razaque, Bandar Alotaibi, Munif Alotaibi, Fathi Amsaad, Ansagan Manasov, Salim Hariri, Banu Yergaliyeva, and Aziz Alotaibi, “A blockchain-Enabled Deep Recurrent Neural Network Model for Clickbait Detection: Implications for Online Content Credibility,” in IEEE Access, vol. 10, pp. 3144-3163, 2022. [Q1 IEEE Journal, IF = 3.9]. https://ieeexplore.ieee.org/document/9656746
  5. Malik, S. Sahoo, N. Z. Jhanjhi, S. Bhatia, and Fathi Amsaad, “E-Learning Course Recommender System Using Collaborative Filtering Models,” Electronics, 2022. [Q2 Journal, IF=2.69]. https://www.mdpi.com/2079-9292/12/1/157
  6. Kumar, N. Malik, J. Singla, N. Z. Jhanjhi, Fathi Amsaad, and Abdul Razaque, “Light Weight Authentication Scheme forSmart Home IoT Devices,” Cryptography, 2022. [Q2 Journal, IF = 2.3].https://www.mdpi.com/2410-387X/6/3/37
  7. Mamoona Humayun, Noor Zaman Jhanjhi, Mahmood Niazi, Fathi Amsaad, and Isma Masood, “Securing DrugDistribution Systems from Tampering Using Blockchain,” Electronics, [Q2 Journal, IF = 2.69].https://www.mdpi.com/2079-9292/11/8/1195
  8. Fathi Amsaad, Ahmed Oun, Mohammed Y. Niamat, Abdul Razaque, Selcuk Kose, Mohamed Mahmoud, and WaleedAlasmary, “Enhancing the Performance of Lightweight Configurable PUF for Robust IoT Hardware-AssistedSecurity,” in IEEE Access, 9, pp. 136792-136810, 2021. [Q1 IEEE Journal, IF = 3.9].https://ieeexplore.ieee.org/document/9557269
  9. Fathi Amsaad and K¨ose, “A Secure Lightweight Hardware-assisted Charging Coordination AuthenticationFramework for Trusted Smart Grid Energy Storage Units,” Springer Nature Computer Science, 2021. [Q1 Springer Journal, IF = 1.9].https://link.springer.com/article/10.1007/s42979-021-00840-0
  10. A. Shafee M. M. Fouda, M. M. E. A. Mahmoud, A. J. Aljohani, W. Alasmary, and Fathi Amsaad, “Detection of Lying Electrical Vehicles in Charging Coordination Using Deep Learning,” in IEEE Access, vol. 8, pp. 179400-179414, 2020. [Q1 IEEE Journal, IF = 3.9].https://ieeexplore.ieee.org/abstract/document/9210521
  11. Razaque, Fathi Amsaad, S. Hariri, M. Almasri, S. S. Rizvi and M. B. H. Frej, “Enhanced Grey Risk Assessment Model for Support of Cloud Service Provider,” in IEEE Access, vol. 8, pp. 80812-80826, 2020. [Q1 IEEE Journal, IF = 3.9] https://ieeexplore.ieee.org/abstract/document/9064787
  12. Abdul Razaque, Fathi Amsaad, Meer Jaro Khan, Salim Hariri, Shujing Chen, Chen Siting, “Survey: CybersecurityVulnerabilities, Attacks and Solutions in the Medical Domain,” in IEEE Access, 7,168774-168797, 2019. [Q1 IEEE Journal, IF = 3.9] https://ieeexplore.ieee.org/document/8888271
  13. Fathi Amsaad, Niamat, A. Dawoud, and S. K¨ose, “Reliable Delay based Algorithm to Boost PUF Security againstModeling Attacks,” Information, Vol. 9, No. 9, pp. 1–15, September 2018. [Q2 Journal, IF =]. (Link:) https://www.mdpi.com/2078-2489/9/9/224
  14. Azhar, Fathi Amsaad, and S. K¨ose, “Duty Cycle-based Controlled Physical Unclonable Function,” IEEE Transactionson Very Large-Scale Integration (VLSI) Systems, Vol. 26, No. 9, pp. 1647–1658, September 2018. [Q1 IEEE Journal, IF = 2.8]. (Link): https://ieeexplore.ieee.org/document/8365151

 2024 Under Review, Preprint, Archived in IEEE TechRxiv Journals

Note: The following papers are still under peer review process. Some of the work has been published in preprint or archived in IEEETechRxiv journals. Dr. Amsaad’s name is highlighted in bold. His graduate student mentees are highlighted in italic andunderlined. These documents are submitted in 2024.

  1. Ashutosh Ghimire, Tanvir Hossain, Tamzidul Hoque, and Fathi Amsaad, “AI-Driven Security Approach to EnhanceGolden Free Hardware Trojan Localization and Detection for Assure and Trusted IC Microelectronics,” IEEETransactions on Very Large-Scale Integration (TVLSI), [Q1/Q2 IEEE Journal, IF = 2.8].
  2. Bharath Konatham, Tabassum Simra, and Fathi Amsaad, Mohamed Ibrahem, and Noor Zaman, “A Secure Hybrid Deep Learning Technique for Anomaly Detection in IIoT Edge Computing,” IEEE Transactions on Industrial Electronics. [Q1 IEEE Journal, IF = 7.7].(Link:) https://shorturl.at/NX3KA
  1. Ashutosh Ghimire, Mohammed Alkurdi, Md Tauhidur Rahman, Saraju Mohanty, and Fathi Amsaad, “A Golden-FreeUnsupervised ML-Assisted Security Approach for Detection of IC Hardware Trojans,” ACM Journal on Emerging Technologies in Computing Systems. [Q2 ACM Journal, IF = 2.2].
  2. K M Tawsik Jawad, Anusha Verma, and Fathi Amsaad, “AI-Driven Predictive Analytics Approach for Early Prognosis ofChronic Kidney Disease Using Ensemble Learning and Explainable AI” IEEE Journal of Translational Engineering in Health & Medicine (JTEHM), 2024, [Q1 IEEE Journal, IF = 3.4].
  3. Ashutosh Ghimire, Mohammed Alkurdi, Saraju Mohanty, and Fathi Amsaad, “AI-Enabled Image Processing Approachfor Efficient Clustering and Identification of Hardware Trojans,” Springer Nature Computer Science. [Q1 Springer Journal, IF = 1.9].
  4. Harshdeep Singh, Ashutosh Ghimire, and Fathi Amsaad, “AI-Driven SRAM PUF Manufacturer Identification forTrusted IC Supply Chain Systems,” IEEE System Journal. [Q1 IEEE Journal, IF = 1].
  5. Niraj Prasad Bhatta, Harshdeep Singh, Md Tauhidur Rahman, and Fathi Amsaad, “Analyzing Aging Effects on SRAM PUFs: Implications for Security and Reliability,” Journal of Hardware and System Security (HaSS): Trustworthy Microelectronic. (Final Round of Review). https://www.researchsquare.com/article/rs-3290189/v1
  1. textitHarshdeep Singh, Niraj Prasad Bhatta, Md Tauhidur Rahman, and Fathi Amsaad, “Accelerated Aging Effects on SRAM PUF reliability at various Temperature and Voltage conditions,” Journal of Hardware and System Security(HaSS): Trustworthy Microelectronic. (Final Round of Review). https://www.researchsquare.com/article/rs-3290189/v1.
  2. Tabassum Simra, Bharath Konatham, and Fathi Amsaad, and Mohamed Ibrahem, ”A

Knowledge-Based Federated Deep Learning Approach for IoT Edge Security and Privacy”, Computer Communications. [Q1 Elsevier Journal, IF = 6.0].

  1. Khaled Saleh, Fathi Amsaad, Dirar Darwesh, Omar Darwish, “Software and Hardware based Obfuscation and De-obfuscation Techniques for Secure and Trusted System: A Comprehensive Study,” Computer Science Review (Elsevier). [Q1 Elsevier Journal, IF = 12.9].
  2. Niveshitha Niveshitha, Ahmed Sherif, Noor Zaman Jhanjhi, and Fathi Amsaad, “AI-assisted Distributed CloudServices Framework for Enhanced Safety in Urban Smart Cities Environment,” Internet of Things, 2024. [Q1 Elsevier Journal, IF = 5.9, Cite Score = 12.1]
  3. Vishnu Baligodugula, Ashutosh Ghimire, Vincent Schmidt, and Fathi Amsaad, “Distributed AI for EnhancedUnsupervised Clustering in Machine Learning,” IEEE Access, [Q1 IEEE Journal, IF = 3.9].
  4. Ashutosh Ghimire and Fathi Amsaad, “A Parallel Approach to Enhance the Performance of Supervised MachineLearning Realized on Multicore Environment,” Machine Learning and Knowledge Extraction. [Q1 Journal, IF = 3.9].

Published IEEE Magazine Papers

Note: The following papers are published in IEEE Magazines. Dr. Amsaad’s name is highlighted in bold. His graduate student mentees are highlighted in italic and underlined.

  1. Hildebrand, A. Ghimire, F. Amsaad, A. Razaque and S. P. Mohanty, ”Quantum communication networks: design,reliability, and security,” in IEEE Potentials. [IEEE Magazine, Cite Score = 1.4] (Link:) https://ieeexplore-ieee-org.ezproxy.libraries.wright.edu/document/10288526
  2. Fathi Amsaad and K¨ose, “A Secure Hardware-Assisted AMI Authentication Scheme for Smart Cities,” in IEEEConsumer Electronics Magazine, vol. 10, no. 4, pp. 106-112, 1 July 2021. [Q1 IEEE Magazine, IF = 4.5]. (Link:) https://ieeexplore.ieee.org/document/9271856

Published Books and Book Chapters

Note: The following are published work on Books and Book Chapters. Dr. Amsaad’s name is highlighted in

bold. His graduate student mentees are highlighted in italic and underlined.

•Book1: Advances in Intelligent Systems and Computing

Book Editors: Sheng-Lung Peng, Noor Zaman Jhanjhi, Souvik Pal, and Fathi Amsaad Publisher: Springer Nature

  • Publishing Processing: The 3rd International Conference on Mathematical Modeling and Computational Science (ICMMCS 2023)

Publication Date: 2023

(Link:) https://link.springer.com/book/10.1007/978-981-99-3611-3

•Book2: Cryptographic Methods

Book Editors: Abdul Razaque, Fathi Amsaad, and Abrar Alajlan

Publisher: WestBow Press

Publication Date: 2021

Issue: ISBN-13: 978-1973694090

https://www.westbowpress.com/en/bookstore/bookdetails/805984-cryptographic-methods

Book Chapter1: Fathi Amsaad, Brian Hildebrand, Mohamed Baza, Abdul Razaque, “Secure Blind Signature forElectronic Voting and Electronic Cashing Systems: A Survey,” Security and Resilience of Cyber Physical Systems, eBook ISBN (9781003185543), Imprint Chapman and Hall/CRC, 2022. (Link:)https://bit.ly/3VKEOkO

Published Conference Papers

Note: The following Peer reviewed Conference Papers are published by IEEE. Dr. Amsaad’s name is highlighted in bold. Hisgraduate student mentees are highlighted in italic and underlined.

Note: Link to All Conference Papers in IEEE Xplore Database: (https://shorturl.at/TM4Q3)

  1. Ghimire, M. Alkurdi, and F. Amsaad, ”Enhancing Hardware Trojan Security through Reference-Free Clustering using Representatives,” 2024 37th International Conference on VLSI Design and 2024 23rd International Conference on Embedded Systems (VLSID), Kolkata, India, 2024, pp. 467-473.
  1. Niraj Prasad Bhatta and Fathi Amsaad, “Machine Learning-Based Classification of Hardware Trojans Using Power Side-Channel Signals,” The 2024 IEEE 67th International Midwest Symposium on Circuits and Systems (MWSCAS), Springfield, MA, USA, August 11-14, 2024.
  2. Mohammed Alkurdi, Ashutosh Ghimire, and Fathi Amsaad, ”Adversarial Attack Resilient ML-Assisted Hardware TrojanDetection Technique,” the 13th IEEE Computer Society Annual Symposium on VLSI (ISVLSI 2024), Knoxville, Tennessee, USA, July 1-3, 2024.
  3. Harshdeep Singh and Fathi Amsaad, “Enhancing Supply Chain Security: Machine Learning for ManufacturerIdentification of SRAM PUFs,” the 13th IEEE Computer Society Annual Symposium on VLSI (ISVLSI 2024), Knoxville, Tennessee, USA, July 1-3, 2024.
  4. Niraj Prasad Bhatta and Fathi Amsaad, “Advancing PUF Security: Machine Learning-Assisted ModelingAttacks,” the 13th IEEE Computer Society Annual Symposium on VLSI (ISVLSI 2024), Knoxville, Tennessee, USA, July 1-3, 2024.
  5. Vishnu Vardhan Baligodugula and Amsaad, ”Enhancing the Performance of Unsupervised Machine Learning using Parallel Computing: A Comparative Analysis,” 3rd International Conference on Computing and Machine Intelligence (ICMI), Mount Pleasant, Michigan, April 13-14, 2024.
  6. Tabassum Simra, Bharath Konatham, Fathi Amsaad, Mohamed Ibrahem, and Noor Zaman Jhanjhi, ”Enhancing Anomaly Detection of IoT using Knowledge-Based and Federated Deep Learning,” 3rd International Conference on Computing and Machine Intelligence (ICMI), Mount Pleasant, Michigan, April 13-14, 2024.
  7. Mithun Kumar PK, Al Amin Hossain, Sufian Al Majmaie, and Fathi Amsaad, ”Routing Protocol Attack DetectionUsing Machine Learning Through Parallel Computing in Wireless Sensor Network,” 3rd International Conference on Computing and Machine Intelligence (ICMI), Mount Pleasant, Michigan, April 13-14, 2024.
  8. V. Baligodugula, F. Amsaad and N. Jhanjhi, ”Analyzing the Parallel Computing Performance of UnsupervisedMachine Learning,” 2024 IEEE 1st Karachi Section Humanitarian Technology Conference (KHI-HTC), Tandojam, Pakistan, 2024, pp. 1-6, doi: 10.1109/KHI-HTC60760.2024.10482277.
  9. M. T. Nowroz, F. Amsaad and N. Jhanjhi, ”Dielectric Characterization for Secure and Reliable High-FrequencyPrinted Circuit Board Applications,” 2024 IEEE 1st Karachi Section Humanitarian Technology Conference (KHI-HTC), Tandojam, Pakistan, 2024, pp. 1-5, doi:10.1109/KHI-HTC60760.2024.10482244.
  1. P. Bhatta, S. A. Majmaie, F. Amsaad, N. Jhanjhi and T. R. Soomro, ”SRAM PUFs: A Study of Aging Impact andPotential Mitigation,” 2024 IEEE 1st Karachi Section Humanitarian Technology Conference (KHI-HTC), Tandojam, Pakistan, 2024, pp. 1-5, doi:10.1109/KHI-HTC60760.2024.10482239.
  1. Niveshitha, F. Amsaad and N. Z. Jhanjhi, ”Air Quality Prediction in Smart Cities Using Cloud MachineLearning,” 2023 Second International Conference on Smart Technologies for Smart Nation (SmartTechCon), Singapore, Singapore, 2023, pp. 1115-1119.
  2. R. Konatham, T. Simra, A. Ghimire, F. Amsaad, M. I. Ibrahem and N. Z. Jhanjhi, ”ML-assisted Security for Anomaly Detection in Industrial IoT (IIoT) Applications,” 2023 Second International Conference on SmartTechnologies for Smart Nation (SmartTechCon), Singapore, Singapore, 2023, pp. 1120-1127.
  1. Harshdeep Singh, Vishnu Vardhan Baligodugula, and Fathi Amsaad, “Shrew Distributed

Denial-of-Service (DDoS) Attack in IoT Applications: A Survey,” Internet of Things. Advances in Information andCommunication Technology( IFIPIoT 2023), Denton, TX, USA, November 2–3, 2023.

  1. Ashutosh Ghimire, Vishnu Vardhan Baligodugula, and Fathi Amsaad, “Power Analysis Side-Channel Attacks on Sameand Cross-Device Settings: A Survey of Machine Learning Techniques,” Internet of Things. Advances in Informationand Communication Technology (IFIPIoT 2023),2-3 NOVEMBER 2023 DALLAS-FORT WORTH METROPLEX, TEXAS, USA.
  2. Niraj Prasad Bhatta, Ashutosh Ghimire, Al Amin Hossain, and Fathi Amsaad, “Comprehensive Survey of MachineLearning Techniques for Detecting and Preventing Network Layer DoS Attacks,” Internet of Things. Advances inInformation and Communication Technology (IFIPIoT 2023),2-3 NOVEMBER 2023 DALLAS-FORT WORTH METROPLEX, TEXAS, USA.
  3. P. Bhatta, F. Amsaad, H. Singh, A. Sherif and K. Hopkinson, ”Enhancing Hardware Security: An Analysis of SRAM-PUFs,” NAECON 2023 – IEEE National Aerospace and Electronics Conference, Dayton, OH, USA, 2023, pp. 174-180.
  4. Ghimire, F. Amsaad, T. Hossain, T. Hoque and A. Sherif, ”FPGA Hardware Trojan Detection: Golden-Free MachineLearning Approach,” NAECON 2023 – IEEE National Aerospace and Electronics Conference, Dayton, OH, USA, 2023, pp. 181-186.
  5. Harshdeep Singh, P. Bhatta, K. M. T. Jawad, H. Singh, F. Amsaad and K. Hopkinson, ”ML-AssistedSecurity for the Detection of DDoS Attacks in Connected IIoT Environment:

Implementation and Comparative Analysis,” NAECON 2023 – IEEE National Aerospace and Electronics Conference, Dayton, OH, USA, 2023, pp. 59-66.

  1. Harshdeep Singh, P. Bhatta, K. M. Tawsik Jawad, A. Ghimire, M. T. Rahman and F. Amsaad, ”Evaluating theRobustness of SRAM Physical Unclonable Functions: Empirical Investigations,” 2023 IEEE Physical Assurance andInspection of Electronics (PAINE), Huntsville, AL, USA, 2023, pp. 1-7.
  2. P. Bhatta, H. Singh, A. Ghimire, M. T. Rahman and F. Amsaad, ”Aging of SRAM PUFs: Mitigation andAdvancements Through Machine Learning Techniques,” 2023 IEEE Physical Assurance and Inspection of Electronics (PAINE), Huntsville, AL, USA, 2023, pp. 1-6.
  3. Ghimire, A. A. Hossain, N. P. Bhatta, and F. Amsaad, ”Identification and Localization of Quantum Electromagnetic Fields of Hardware Trojan Attacks Using QDM-Based Unsupervised Deep Learning,” 2023 IEEE Physical Assuranceand Inspection of Electronics (PAINE), Huntsville, AL, USA, 2023, pp. 1-6.
  4. Ghimire, A. N. Asiri, Brian Hildebrand, and F. Amsaad, ”Implementation of Secure and

Privacy-aware AI Hardware using Distributed Federated Learning,” 2023 IEEE 16th Dallas Circuits and Systems Conference (DCAS), Denton, TX, USA, 2023, pp. 1-6.

  1. Amsaad, A. Razaque, M. Baza, S. Kose, S. Bhatia and G. Srivastava, ”An Efficient and Reliable Lightweight PUF forIoT-based Applications,” 2021 IEEE International Conference on Communications Workshops (ICC Workshops), Montreal, QC, Canada, 2021, pp. 1-6.
  2. Amsaad and S. K¨ose, ”A Lightweight Hardware-based Authentication for Secure Smart Grid Energy Storage Units,”2021 IEEE 7th World Forum on Internet of Things (WF-IoT), New Orleans, LA, USA, 2021, pp. 443-448.
  1. Halder, Fathi Amsaad, N. Fourty and B. Hildebrand, ”A Low-Power IoT-enabled Smart Monitoring System for Efficient Product Delivery,” 2021 IEEE International Midwest Symposium on Circuits and Systems (MWSCAS), Lansing, MI, USA, 2021, pp. 692-695.
  2. Amsaad and S. K¨ose, ”A Trusted Authentication Scheme for IoT-based Smart Grid Applications,”2020 IEEE 6th World Forum on Internet of Things (WF-IoT), New Orleans, LA, USA, 2020.
  1. Amsaad, A. Sherif, D. Halder, and M. Mahmoud, “An Efficient and privacy aware hardware-based authenticationscheme for AMI network,” Proc. of IEEE SoutheastCon’20, Raleigh, NC, 2020.
  2. Amsaad, A. Sherif, A. Dawoud, M. Niamat and S. Kose, ”A Novel FPGA-based LFSR PUF Design for IoT and Smart Applications,” NAECON 2018 – IEEE National Aerospace and Electronics Conference, Dayton, OH, USA, 2018.
  3. Shafee, M. Nabil, M. Mahmoud, W. Alasmary and F. Amsaad, ”Detection of Denial of Charge (DoC) Attacks inSmart Grid Using Convolutional Neural Networks,” 2021 International Symposium on Networks, Computers and Communications (ISNCC), Dubai, United Arab Emirates, 2021.
  4. Baza, R. Amer, F. Amsaad, M. Mahmoud and W. Alasmary, ”Efficient Privacy-preserving Charging Coordination with Linkability-resistance in the Smart Grid,” 2021 IEEE Globecom Workshops (GC Wkshps), Madrid, Spain, 2021, pp. 1-5.
  5. Ibrahim Yilmaz, Mohamed Baza, Ramy Amer, Amar Rasheed, Fathi Amsaad, and Rasha Morsi, “On the Assessment of Robustness of Telemedicine Applications against Adversarial Machine Learning Attacks,” 2021 InternationalConference on Industrial, Engineering and Other Applications of Applied Intelligent Systems: Advances and Trends in Artificial Intelligence (IEA/AIE 2021), Kuala Lumpur,
  6. Abdul Razaque, Fathi Amsaad, Dipal Halder, Mohamed Baza, Abobakr Aboshgif, and Sajal Bhatia, “Analysis of sentimental behaviour over social data using machine learning algorithms,” 2021 International Conference on Industrial, Engineering and Other Applications of Applied Intelligent Systems: Advances and Trends in ArtificialIntelligence (IEA/AIE 2021), Kuala Lumpur,
  7. Abdul Razaque, Fathi Amsaad, Muder Almiani, Wan Xiaoya, Li Shiyu, Raouf Ganda, Majdi Rawashdeh, andAmer AlRahayfeh, ”Efficient Context-aware File System Approach,” 2020 Seventh International Conference onSoftware Defined Systems (SDS), Paris, France,
  8. Abdul Razaque, Fathi Amsaad, Muder Almiani, Duisen Gulsezim, Mohammad Adnan Almahameed, Ayman Al-Dmour,Meer Jaro Khan, ”Successes and Failures in Exploring Biometric Algorithms in NIST Open-Source Software and Data,”2020 Seventh International Conference on Software Defined Systems (SDS), Paris, France, 2020, pp. 231-234.
  9. Razaque, M. B. H. Frej, D. Sabyrov, A. Shaikhyn, F. Amsaad and A. Oun, ”Detection of Phishing Websites usingMachine Learning,” 2020 IEEE Cloud Summit, Harrisburg, PA, USA, 2020, pp. 103-107.
  10. Razaque, F. Amsaad, M. J. Khan, A. Saule Toksanovna, A. Oun and M. Almiani, ”Privacy Preserving MediumAccess Control Protocol for wireless Body Area Sensor Networks,” 2019 IEEE National Aerospace and ElectronicsConference (NAECON), Dayton, OH, USA, 2019.
  11. Razaque, F. Amsaad, C. Mengjie Cherry, L. Jiahui Linda and A. Oun, ”Smart Phone as Toolbox for HeightMeasurement,” 2019 IEEE National Aerospace and Electronics Conference (NAECON), Dayton, OH, USA, 2019.
  1. Duisen Gulsezim, Seiitkaliyeva Zhansaya, Abdul Razaque, Yestayeva Ramina, Fathi Amsaad, Muder Almiani, Raouf Ganda, and Ahmed Oun, ”Two Factor Authentication using Twofish Encryption and Visual Cryptography Algorithms forSecure Data Communication,” 2019 Sixth International Conference on Internet of Things: Systems, Management and Security (IOTSMS), Granada, Spain, 2019, pp.405-411.
  1. Abdul Razaque, A. Kanapina, M. Sailaubek, D. Tsoy, Z. Turganov, Muder Almiani, Fathi Amsaad, and MohammadAdnan Almahamed, ”Pair Data Division Algorithm for Handling Data Classification,” 2019 Sixth InternationalConference on Social Networks Analysis, Management and Security (SNAMS), Granada, Spain, 2019, pp. 316-320.
  2. Tastan, A. Razaque, M. Ben Haj Frej, A. Saule Toksanovna, R. M. Ganda and F. Amsaad , ”Burglary DetectionFramework for House Crime Control,” 2019 19th International Conference on Computational Science and Its Applications (ICCSA), St. Petersburg, Russia, 2019, pp. 152-157.
  3. Razaque, F. Amsaad, L. Jiazhi, G. Huayue and A. Hassan, ”Incentive mechanisms for crowdsensing,” 2018IEEE Long Island Systems, Applications and Technology Conference (LISAT), Farmingdale, NY, USA, 2018, pp. 1-6.
  4. Razaque, F. Amsaad, M. A. Khaskheli, M. J. Khan, A. Hassan and A. M. Ilyas, ”Secure and energy efficient mobilepayment protocol,” 2018 IEEE Long Island Systems, Applications and Technology Conference (LISAT), Farmingdale, NY, USA, 2018, pp. 1-6.
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